The DOI matches its Crossref record; 25 of the 28 references it cites were found in a registry or an index.
Mechanically Flexible Wireless Multisensor Platform for Human Physical Activity and Vitals Monitoring
Abstract
Practical usability of the majority of current wearable body sensor systems for multiple parameter physiological signal acquisition is limited by the multiple physical connections between sensors and the data-acquisition modules. In order to improve the user comfort and enable the use of these types of systems on active mobile subjects, we propose a wireless body sensor system that incorporates multiple sensors on a single node. This multisensor node includes signal acquisition, processing, and wireless data transmission fitted on multiple layers of a thin flexible substrate with a very small footprint. Considerations for design include size, form factor, reliable body attachment, good signal coupling, low power consumption, and user convenience. The prototype device measures 55 15 mm and is 3 mm thick. The unit is attached to the patient's chest, and is capable of performing simultaneous measurements of parameters, such as body motion, activity intensity, tilt, respiration, cardiac vibration, cardiac potential (ECG), heart rate, and body surface temperature. In this paper, we discuss the architecture of this system, including the multisensor hardware, the firmware, a mobile-phone receiver unit, and assembly of the first proof-of-concept prototype. Preliminary performance results on key elements of the system, such as power consumption, wireless range, algorithm efficiency, ECG signal quality for heart-rate calculations, as well as synchronous ECG and body activity signals are also presented.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The wearing comfort575859 of wearable devices is decided by; 1) the number of wearing devices; 2) device’s size and weight; 3) flexibility of the device.”
From A Flexible and Wearable Human Stress Monitoring Patch (2016) · cites this paper as [59]
Citations
Cites
A Real-Time QRS Detection Algorithm
Pan, J., & Tompkins, W. J. (1985) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1985.325532 · Cited by 7,855
Energy Scavenging for Mobile and Wireless Electronics
Paradiso, J. A., & Starner, T. E. (2005) · IEEE Pervasive Computing · doi:10.1109/mprv.2005.9 · Cited by 2,644
Energy Harvesting Technologies
Priya, S., & Inman, D. J. (2008) · Springer eBooks · doi:10.1007/978-0-387-76464-1 · Cited by 1,976
The principles of software QRS detection
Kohler, B.-U., Hennig, C., & Orglmeister, R. (2002) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.993193 · Cited by 1,260
Reliability and validity of the combined heart rate and movement sensor Actiheart
Brage, S., Brage, N., Franks, P. W., Ekelund, U., & Wareham, N. J. (2005) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602118 · Cited by 690
Wickström (2000) · doi:10.5271/sjweh.555 · Cited by 526
An ultra-wearable, wireless, low power ECG monitoring system
Park, C., Chou, P. H., Bai, Y., Matthews, R., & Hibbs, A. H. (2006) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2006.4600353 · Cited by 265
Optimization of inertial micropower Generators for human walking motion
von Büren, T., Mitcheson, P., Green, T. C., Yeatman, E. M., Holmes, A. S., & Tröster, G. (2006) · IEEE Sensors Journal · doi:10.1109/jsen.2005.853595 · Cited by 214
An inductive power system with integrated bi-directional data-transmission
Catrysse, M., Hermans, B., & Puers, R. (2004) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2004.02.016 · Cited by 205
Castiglioni, P., Faini, A., Parati, G., & Rienzo, M. D. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4353199 · Cited by 156
Research works printed but not linked: 6
- yazdi, 2000, a generic interface chip for capacitive sensors in low-power multiparameter microsystems, ensors and actuators a, Physical, 84, 351
- 2005, Physiological sensor combination
- 2002, Physiological sensor array
- wilborn, 2004, the effects of exercise intensity and body position on cardiovascular variables during resistance exercise, J Exercise Physiol Online, 7, 29
- 2007, Apparatus for signal detection processing and communication
- mao, 2008, multi-functional sensor system for heart rate, body position and movement intensity analysis, ISFA Sensors Transducers S E MEMS/NEMS Devices, 3, 59
Cited by
Sorted by citations
Wearable Sensors for Human Activity Monitoring: A Review
Mukhopadhyay, S. C. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2370945 · Cited by 1,401
Ballistocardiography and Seismocardiography: A Review of Recent Advances
Inan, O. T., Migeotte, P.-F., Park, K.-S., Etemadi, M., Tavakolian, K., Casanella, R., Zanetti, J., Tank, J., Funtova, I., Prisk, G. K., et al. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2361732 · Cited by 775
Self-citationUnobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G., Zhao, N., & Zhang, Y. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 725
Liu, Y., Norton, J. J. S., Qazi, R., Zou, Z., Ammann, K. R., Liu, H., Yan, L., Tran, P. L., Jang, K.-I., Lee, J. W., et al. (2016) · Science Advances · doi:10.1126/sciadv.1601185 · Cited by 397
Low-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring
Spano, E., Pascoli, S. D., & Iannaccone, G. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2564995 · Cited by 256
Metadata
- Authors
- Chuo, Y., Marzencki, M., Hung, B., Jaggernauth, C., Tavakolian, K., Lin, P., & Kaminska, B.
- Affiliations
- Simon Fraser University (CA)
- ORCID
- Tavakolian, Kouhyar
- Venue
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2010-10
- Volume
- 4
- Issue
- 5
- Pages
- 281-294
- ISSN
- 1932-4545 (ISSN-L)
- 1940-9990
- OpenAlex
- W2126568521
- Cited by
- 102
- References
- 28
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 5 · 2022: 5 · 2021: 9 · 2020: 8 · 2019: 8 · 2018: 9 · 2017: 9 · 2016: 10 · 2015: 6 · 2014: 9 · 2013: 13 · 2012: 3
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Biomedical Circuits and Systems (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- wireless body sensors, flexible electronics, wearable sensors, vital signs monitoring, ECG, heart rate, respiration, human motion detection, body surface temperature, low power consumption, signal coupling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
